Why do competing ZK provers waste most of their compute racing each other?
Szansa
In every decentralized ZK prover network today, multiple provers start generating the same proof simultaneously. Only one submission can land on-chain; the rest revert after spending 20 to 60 minutes of GPU time per collision. The effective utilization rate in a competitive pool is roughly one over the number of active provers, so adding more provers makes the waste worse. Commit-reveal schemes reduce collisions but add latency that erodes the benefit of decentralization; reputation-based pre-assignment reintroduces a trusted scheduler. No mechanism has solved task allocation without recreating the centralization it was meant to replace.
Dlaczego to ważne
Until prover work can be assigned without a coordinator, decentralized ZK proving is economically self-defeating and proof generation stays structurally dependent on centralized infrastructure.
Jak oceniam szansę
Wskaźnik Szansy to mój własny odczyt, a nie pomiar: jak bardzo boli, jak często daje się we znaki i jak niewiele istnieje dziś, by to rozwiązać. Wyższy wynik oznacza, że uważam problem za bardziej warty zbudowania.
Ile bólu sprawia, gdy się pojawia.
Jak często ludzie faktycznie na to trafiają.
Jak mało dobrych narzędzi istnieje dla tego dziś.
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